Biomedical Engineering Reference
In-Depth Information
Fig. 3. Histograms of −log 10 (p-value) values resulting from association tests of the phenotype
with the causal SNP ancestor nodes (As) and the other latent nodes (Os). General results compil-
ing all simulated scenarii (see 6.1): MAF (0.1-0.2, 0.2-0.3 and 0.3-0.4), heterozygous GRR ( 1 . 4 ,
1 . 6 and 1 . 8 ) and disease model (dominant, recessive, additive and multiplicative)
from the association test between variable X v (belonging to layer )and Y . Thus can
be assessed association significance, corrected for family-wise type I error, or should
one write instead, controlled for layer-wise type I error.
7
Detection of Indirect Genetic Associations
7.1
Verification for Simulated Data
Over all 3600 runs ( 36 scenarii
100 replicates), up to 7 layers were generated. Results
obtained for layers above third layer (comprised) are not reported: such layers do not
provide sufficient data to compute representative medians or draw informative boxplots.
On average, over all 3600 FLTMs, the percentages of nodes are distributed as follows:
89 . 1% in layer 0 , 9 . 5% in layer 1 , 1 . 2% in layer 2 and 0 . 2% in layer 3 .
×
log 10 (p-value) values. Val-
ues near 0 point out independence and the previous indicator increases with the strength
of the dependence. Figure 3 compares the histograms of
General Trends. Instead of p-values, we will consider the
−log 10 (p-value) values result-
ing from association tests of Y with A nodes and O nodes, respectively. The comparison
of these two histograms reveals a large dissimilarity between the two distributions. The
majority ( 70% )of
log 10 (p-value) values relative to A nodes is greater than 1 , whereas
it is the case for only 19% of O nodes. We observe that large
log 10 (p-value) val-
ues ( e.g. , greater than 5 ) are common for the former and are very rare for the latter. A
non-parametric test, the Wilcoxon rank-sum test, shows a p-value less than 10 16 , thus
confirming that A and O p-values follow two different distributions.
Figure 4(a) more thoroughly describes the
log 10 (p-value) values observed for the
different layers of the FLTM in the cases of tests relative to A and O nodes. The layer
0 refers to the association tests between the phenotype and the causal SNP and serves
as the reference value. In this figure, we observe that the association strength for A
nodes slowly decreases when the layer number increases, whereas the association for
O nodes sticks to
log 10 (p-value) values below 0 . 4 , corresponding to p-values greater
than 0 . 4 . Although O nodes reveal false positive associations (less than 10% have a p-
value below 0 . 01 ), these results clearly highlight a general trend: indirect associations
are captured by the A nodes while it is not the case for a large majority of O nodes.
 
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